Results 141 to 150 of about 24,085 (261)
Machine learning based approach to intrusion detection in internet of things environments. [PDF]
Akinbowale OE +3 more
europepmc +1 more source
Objective Proteome‐wide risk models for lupus remain underexplored. We developed classification models to identify lupus from serum proteomic profiles. Methods Patients with lupus and individuals with other autoimmune diseases in the UK Biobank were included.
Mehmet Hocaoǧlu +2 more
wiley +1 more source
Kinematic and biomechanical estimates of head and neck loading during the long attack in IGP protection work dogs. [PDF]
Vilar JM +4 more
europepmc +1 more source
Objective The hematopoietic system maintains homeostasis by balancing myeloid and lymphoid cell production in the bone marrow (BM). In response to increased hematopoietic demand, extramedullary hematopoiesis (EMH) may occur in nonlymphoid organs. We investigated the role of EMH and kidney‐resident hematopoietic stem and progenitor cells (HSPCs) in ...
Hansol Yi +9 more
wiley +1 more source
HAMC-ID: hybrid attention-based meta-classifier for intrusion detection. [PDF]
Antony Joseph Raj S, Madiajagan M.
europepmc +1 more source
Objective Somatic DNMT3A mutations are the most common drivers of clonal hematopoiesis in patients with rheumatoid arthritis (RA) and have been associated with seropositive disease and increased markers of inflammation. These mutations are predominantly hypomorphic or dominant‐negative, reducing DNMT3A function.
Yunbing Shen +10 more
wiley +1 more source
Navigating adverse immunostimulation: A practical guide for clinical researchers
Problem Setting As drug development moves towards more complex products, early clinical development programmes are increasingly hampered by unwanted and/or unexpected activation of the immune system (adverse immune stimulation, AIS). Solution At the Centre for Human Drug Research, we have introduced standardized procedures to make AIS manageable, while
Juliette A. van den Noort +3 more
wiley +1 more source
FeXAI: Federated and Explainable AI for cyber threat detection in IoT-enabled smart transportation systems. [PDF]
Gurushanker A +3 more
europepmc +1 more source
Efficacy, safety and cost‐effectiveness of CAR‐T therapy
CAR T‐cells demonstrate high efficacy in blood cancers, including ALL, MM and DLBCL. Innovations target solid tumours despite challenges such as antigen escape. Combination therapies enhance the delivery and infiltration of CAR T cells. Toxicity, cost and resistance remain major barriers to clinical use.
Emina Karahmet Sher +7 more
wiley +1 more source
Detection of disturbances and cyber-attacks in smart grids using explainable machine learning. [PDF]
Farsi M +7 more
europepmc +1 more source

